{"id":6833,"date":"2018-03-16T08:22:17","date_gmt":"2018-03-15T23:22:17","guid":{"rendered":"http:\/\/ircn.jp\/?p=6833"},"modified":"2020-06-05T09:28:57","modified_gmt":"2020-06-05T00:28:57","slug":"cubic-x-a-new-method-to-implement-single-cell-based-whole-brain-imaging","status":"publish","type":"post","link":"https:\/\/ircn.jp\/en\/pressrelease\/cubic-x-a-new-method-to-implement-single-cell-based-whole-brain-imaging","title":{"rendered":"CUBIC-X: A New Method to Implement Single-cell Based Whole-brain Imaging"},"content":{"rendered":"

The brain is a complex object like the universe comprising intricate networks with a tremendous amount of neuronal cells. To understand this structural complexity and its functions, brain atlases that can show fine-scale structures and connections of cellular circuits are a requisite tool for neuroscientists.
\nRecently, Ueda and his team developed a fluorescent-protein-compatible, intensive tissue-clearing method combined with a tissue expansion protocol, CUBIC-X, which enables seamless imaging of the whole mouse brain. They succeeded in improving the transparency of brain tissue and constructed a point-based mouse brain atlas with single cell annotation (CUBIC-Atlas). Using this 3-D whole-brain atlas, future studies can add activity\/gene expression mapping and explore undefined anatomical areas.
\nThe editable CUBIC-Atlas is available to the research community and public (http:\/\/cubic-atlas.riken.jp)<\/a><\/strong> as a single-cell-resolution platform for unbiased systems-level analysis of mammalian brain.<\/br><\/p>\n

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\nA reconstructed whole brain image based on the acquisition of image data comprising more than 1 million sheets (Whole brain field), Partly-reconstructed brain image data (Magnified View1), Reconstructed image data focusing on neurons (Magnified View2), Reconstructed image data focusing synaptic structure (Magnified View3)<\/p>\n

Please watch the movie version below:<\/strong>
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